基于模板提取的信号分选算法研究  被引量:1

Research into Signal Sorting Algorithm Based on Template Extracting

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作  者:沈路[1] 邓忆秋 赵巍 刘洋[1] 姜珍珠 SHEN Lu;DENG Yi-qiu;ZHAO Wei;LIU Yang;JIANG Zhen-zhu(The 29th Research Institute of CETC,Chengdu 610036,China)

机构地区:[1]中国电子科技集团公司第二十九研究所,四川成都610036

出  处:《舰船电子对抗》2022年第1期58-62,共5页Shipboard Electronic Countermeasure

摘  要:常规分选算法对频率、脉宽和方位较为接近的密集信号难以取得准确的分选结果,针对信号分选在复杂电磁环境下存在的错批和漏批问题,提出了一种基于模板提取的信号分选算法。算法的核心思想是利用信号脉冲时间序列的相关性提取信号的特征序列,克服了传统信号分选算法对脉冲频率、脉宽和方位参数的依赖。仿真和实际数据验证表明,该方法可提高在复杂电磁环境下的信号分选能力。Conventional sorting algorithms are difficult to obtain accurate sorting results for dense signals with close frequency,pulse width and orientation.Aiming at the problems of wrong batches and missed batches of signal sorting in complex electromagnetic environment,a signal sorting algo-rithm based on template extracting is proposed.The core idea of the algorithm is to use the correla-tion of the signal pulse time sequence to extract the characteristic sequence of signals,which over-comes the dependence of traditional signal sorting algorithms on the parameters of pulse frequen-cy,pulse width and direction of arrival.Simulation and actual data verification show that this meth-od can improve the signal sorting ability in complex electromagnetic environment.

关 键 词:模板提取 模板匹配 信号分选 

分 类 号:TN971.1[电子电信—信号与信息处理]

 

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